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Research Article | Open Access |

Frequency Estimation of Single-Tone Sinusoids Under Additive and Phase Noise

Author 1: Asmaa Nazar Almoosawy Author 2: Zahir M. Hussain Author 3: Fadel A. Murad
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 5, No. 9 · Published 2014 · Cited by 12

DOI: https://doi.org/10.14569/IJACSA.2014.050916

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Abstract

We investigate the performance of main frequency estimation methods for a single-component complex sinusoid under complex additive white Gaussian noise (AWGN) as well as phase noise (PN). Two methods are under test: Maximum Likelihood (ML) method using Fast Fourier Transform (FFT), and the autocorrelation method (Corr). Simulation results showed that FFT-method has superior performance as compared to the Corr-method in the presence of additive white Gaussian noise (affecting the amplitude) and phase noise, with almost 20dB difference.

Keywords

Frequency Estimation Correlation Cramer-Rao Bound Phase Noise Maximum Likelihood Estimator

How to Cite this Article

Almoosawy, A. N., Hussain, Z. M., & Murad, F. A. (2014). Frequency Estimation of Single-Tone Sinusoids Under Additive and Phase Noise. International Journal of Advanced Computer Science and Applications, 5(9). https://doi.org/10.14569/IJACSA.2014.050916

Almoosawy, Asmaa Nazar, et al.. "Frequency Estimation of Single-Tone Sinusoids Under Additive and Phase Noise." International Journal of Advanced Computer Science and Applications, vol. 5, no. 9, 2014, https://doi.org/10.14569/IJACSA.2014.050916.

@article{Almoosawy2014,
  title     = {Frequency Estimation of Single-Tone Sinusoids Under Additive and Phase Noise},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {5},
  number    = {9},
  year      = {2014},
  publisher = {The Science and Information Organization},
  author    = {Asmaa Nazar Almoosawy and Zahir M. Hussain and Fadel A. Murad},
  doi       = {10.14569/IJACSA.2014.050916},
  url       = {https://doi.org/10.14569/IJACSA.2014.050916}
}

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